Training in progress, step 2000

events.out.tfevents.1717581940.isl-gpu3.8841.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aa74e7b5cfe6aa38454b4aec704fd8c38a85af75b76f4b1763b5255bc48cb0ee
-size 5694
+oid sha256:68e3ee8bcea270939114ddd962f913c51419ffcd95f399dc31439454d3663f54
+size 6439

log.txt

@@ -302,5 +302,63 @@ Loading cached processed dataset at /home/dshteyma/.cache/huggingface/datasets/j
 [INFO|tokenization_utils_base.py:2512] 2024-06-05 03:23:12,110 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-1000/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2503] 2024-06-05 03:23:14,277 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/tokenizer_config.json
 [INFO|tokenization_utils_base.py:2512] 2024-06-05 03:23:14,282 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/special_tokens_map.json
+/home/dshteyma/miniconda3/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
+  warnings.warn('Was asked to gather along dimension 0, but all '
+
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+[INFO|trainer.py:3664] 2024-06-05 03:39:19,437 >>   Num examples = 1840
+[INFO|trainer.py:3667] 2024-06-05 03:39:19,437 >>   Batch size = 48
+{'eval_loss': 3.23445987701416, 'eval_accuracy': 0.5035306174465283, 'eval_runtime': 74.0522, 'eval_samples_per_second': 24.847, 'eval_steps_per_second': 0.527, 'epoch': 0.26}
+{'loss': 3.0005, 'grad_norm': 0.9617258906364441, 'learning_rate': 9.134314230431938e-05, 'epoch': 0.4}
+{'loss': 2.8119, 'grad_norm': 0.8953185677528381, 'learning_rate': 8.670313710751356e-05, 'epoch': 0.53}
+
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                                               [INFO|trainer.py:3353] 2024-06-05 03:40:32,242 >> Saving model checkpoint to ./training_outputs_job_117568_1_05-06_03-05/checkpoint-2000
+[INFO|configuration_utils.py:471] 2024-06-05 03:40:32,259 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-2000/config.json
+[INFO|configuration_utils.py:705] 2024-06-05 03:40:32,264 >> Configuration saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-2000/generation_config.json
+[INFO|modeling_utils.py:2592] 2024-06-05 03:40:33,166 >> Model weights saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-2000/model.safetensors
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 03:40:33,180 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-2000/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2512] 2024-06-05 03:40:33,185 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/checkpoint-2000/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2503] 2024-06-05 03:40:35,542 >> tokenizer config file saved in ./training_outputs_job_117568_1_05-06_03-05/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2512] 2024-06-05 03:40:35,546 >> Special tokens file saved in ./training_outputs_job_117568_1_05-06_03-05/special_tokens_map.json
 /home/dshteyma/miniconda3/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
   warnings.warn('Was asked to gather along dimension 0, but all '

model.safetensors

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